The 'Optimal Adaptability Corridor' β what it is, and why it's useful
π§΅A thread...
To begin, we need to take a step back and unpack why learning to teach is so hard in the first place.
There are many reasons of course, but one big factor is the nature of the the classroom itself.
In particular, the classroom environment is:
A. Complex β there are *many* moving parts and decisions to be made with incomplete information
B. Hot β many of these decisions need to be made under pressure and in a tight time window
To be effective in a complex and hot environment, teachers need to be both:
Innovative β understand the problems they face and how different strategies might help tackle them
Efficient β do this rapidly, and using minimal cognitive resources
When teachers are able to innovate, but not efficiently, they may understand what is going on in their classrooms, but struggle to do much about it.
They can quickly become overwhelmed, then frustrated, and potentially revert to sub-optimal 'comfort zone' approaches.
When teachers are efficient, but unable to innovate, they can deploy techniques, but not necessarily the right ones at the right times, or modify them to suit the specific needs of their class.
They are exhibiting expertise, but only in a narrow, 'routine' sense.
When teachers can do bothβinnovate, and do so efficientlyβthey are ideally positioned to meet the complex and hot demands of the classroom environment.
This is the basis of 'adaptive expertise', and imho is one of the central goals of teacher education.
However...
(this is where the Optimal Adaptability Corridor comes inβif you've got this far, you might as well keep going)
...it's hard to build both dimensions simultaneously. Each demand a slightly different approach:
β Innovation requires exposure to a wide range of examples with explanations for how these work and why.
β Efficiency requires targeted practice, feedback, and more practice.
Because of this tension, it can be easy for novice (or even experienced) teachers to end up with an imbalanced capacity:
Too much innovation at the expense of efficiency.
Or too much efficiency at the expense of innovation.
The Optimal Adaptability Corridor is a reminder of the importance of checking and maintaining this balance βοΈ
Of ensuring that we build *both* innovation and efficiency in tandem, not going too far in any one direction before switching focus to the other.
To learn more, check out this beast of a paper. It covers the OAC and lots more:
πInnovation and efficiency in transfer by Schwartz et al.
Over the last 10 years, I've had the honour of learning from some incredible teacher educators.
One of the things they tend to double down on is effective 'modelling'.
Here's what modelling is, why it's so powerful for PD, and how to do it well:
β
First up, what is a model? A model is an example of an aspect of teaching that:
β Has high fidelity to the evidence around effective teaching
β Is tried-and-tested: as feasible to implement and learnable by all
β Is small enough to practice multiple times in a 10min timebox
Models can come in various forms, eg:
β’ Live demo or video showing how to give instructions in a way that optimises cognitive load
β’ Case study (eg. with lesson plan or discussion transcript) of how to plan an exit ticket to help reliably prepare for the following lesson
It's the first causal evidence that modelling in PD is π₯π₯π₯
What we did, what we found & why it's important:
β
First up, a bit of background:
At @Ambition_Inst, we work hard to ground our PD in the best available evidence.
However, over the last couple of years, we've increasingly found ourselves asking questions that the research has no answer to yet.
And so, about 9 months ago we decided to set up our own research team.
@DrSamSims (one of the worlds top PD researchers) joined us as research lead, and we started building out a kickass team, talking to folks across the sector, and putting together a research agenda.